Shopping just got as simple as chatting.

OpenAI and Stripe rolled out Instant Checkout inside ChatGPT, the OpenAI-developed assistant, so people can find and buy products without leaving the conversation and enjoy frictionless experiences. Under the hood is the open-source Agentic Commerce Protocol (ACP), built to let any AI, not just ChatGPT, handle secure purchases with merchant control and Stripe-grade payments.

Here’s why this matters if you run a Shopify brand. You’re getting a new sales path to an audience of roughly 700 million weekly users, where high-intent queries turn into impulse buys in seconds and elevate the overall customer experience (CX). The launch went live in October 2025 with Etsy in the US, and Shopify support is next. That means your catalog could be surfaced, explained, and checked out in one thread, all powered by Instant Checkout.

The upside is reach and speed. The trade-off is new homework for your product data. AI needs clarity to match real queries, so clean titles, descriptive copy, and accurate attributes are now the difference between being shown or skipped. If you want a broader primer on where AI is already lifting results for operators, start with this guide on AI Tools for Scaling Shopify Stores.

Expect more platforms to plug into ACP as adoption grows. You connect once, then show up wherever compatible agents enable commerce. That’s a structural shift, not another app to manage.

We’ll break down what to do next, but keep this in mind as you read: no matter your store’s size, from $1K to $1M a month, this changes how customers find your products.

Why AI Commerce Is Exploding Now

Instant Checkout did not appear in a vacuum. We are watching a fast merge of AI discovery, secure payments, and agent-led decisioning. The result is a new channel of conversational commerce where shoppers ask, get an answer, and buy without jumping apps or tabs. Brands that treat this as a passing trend will hand share to operators who ship now.

The Platform Wars Just Moved To Checkout

Big players are racing to control the AI shopping moment:

• ChatGPT added search and now Instant Checkout, closing the loop from query to purchase.
• Perplexity introduced shopping features, pulling commerce into answer engines.
• Google’s AI Overviews route product research inside results, often before a click.
• Amazon launched Rufus, but it only sells Amazon inventory.
• Meta is not meaningfully in this race yet.

The pattern is simple. Whoever owns the recommendation plus the payment wins the session. ChatGPT is the first to make that flow truly conversational across merchants.

Openness Turns This Into Infrastructure, Not a One-Off

ACP is open, so any AI can adopt it. That means it can power purchases across ChatGPT, Claude, Perplexity, and Gemini once they plug in. Think HTTP for AI shopping. For merchants, the impact is clear:

• Single setup, multi-agent reach.
• No platform lock-in.
• Product data becomes your edge.

Treat this like early SEO. Brands that invested from 2005 to 2008 built durable advantages. We are at a similar moment for AI-led commerce.

Zero-Click Buying Becomes Normal

A growing share of ecommerce will happen without a traditional site visit. Voice assistants, AI agents, and embedded checkout inside chat, social, and email make buying ambient. The customer asks, the AI recommends, the purchase completes in under a minute. Your product pages still matter for attribution and support, but structured data is now your storefront inside AI.

If you need practical ways to prep your catalog for these queries, study the playbooks in Top AI Use Cases in E-Commerce for 2025: https://ecommercefastlane.com/best-use-cases-of-ai-in-ecommerce/

Where This Fits vs Amazon, Google, and Social

• Amazon Rufus: Closed ecosystem, favors Amazon listings.
• Google AI Overviews: Keeps research inside Google, often pushes to sites.
• TikTok Shop: Social-first checkout, not agent-driven.
• ChatGPT + ACP: Cross-merchant, powered by agents, happens inside the thread.

The takeaway: optimize once for agent readability, then show up across multiple AI surfaces. This is not another ad account to manage.

The “Why Now” For Operators

• AI agents are finally good enough to answer and transact in one shot.
• Payments are abstracted with Stripe-grade security and merchant control.
• Consumer behavior rewards speed and trust. The AI’s recommendation is the trust signal.

Move fast on product data quality, eligibility, and payments. The next 24 months will decide who becomes the default answer when customers ask for what you sell.

How Instant Checkout Actually Works

Here is the simple version. The Agentic Commerce Protocol (ACP) lets AI agents recommend products, collect your approval, and complete a secure purchase without sending payment data through the AI. Merchants stay in control, orders are tokenized through Stripe, and customers buy inside the chat. Treat this as a new sales surface, not a replacement for your site. With Instant Checkout, security is prioritized from start to finish, ensuring a seamless and protected transaction process.

Step-by-Step: What a Purchase Looks Like in ChatGPT

Instant Checkout compresses discovery and payment into a single conversation. Here is the flow most shoppers will see in ChatGPT:

1. Type a prompt like “coffee gift under $50.”
2. ChatGPT searches ACP-enabled catalogs, then returns a short list with images, titles, prices, and key details.
3. You ask follow-ups, for example “is this dishwasher safe?” The AI answers from the product’s structured data.
4. You pick an item, say “I’ll take the French press.”
5. ChatGPT confirms shipping details and initiates checkout using secure tokens. The AI never sees raw payment credentials.
6. The merchant receives the order request, can review, then accepts.
7. You get an order confirmation. The product ships.

What changes for the buyer? No site hopping, no new tabs, no coupon rabbit holes, no cumbersome checkout experience. It all happens in one thread, allowing you to buy directly with minimal effort. The psychology matters here. Because friction drops close to zero, impulse purchases and convenience buys rise. The AI’s recommendation becomes the trust signal that replaces your landing page.

Know the limits for now. Etsy support is live in the US, Shopify is next, and some categories are still thin while catalogs on-board. If you want the broader context on where AI is already driving wins, scan this guide on AI solutions leveling Shopify ecommerce.

The Open-Source Edge: Why ACP Goes Beyond Just ChatGPT

ACP is open-source, which means any agent can adopt it. That includes Claude, Gemini, Perplexity, and the tools that have not launched yet. Think of ACP like HTTP for buying. You set up once, then your catalog can transact across multiple AI surfaces as they add support.

For operators, the upside is clear:

• One connection, many channels. You avoid custom builds per platform.
• No lock-in. You are not tied to one marketplace or assistant.
• Data becomes the differentiator. Clean titles, attributes, and use-case language win more answers.

The strategic play is timing. In October 2025, we are early. Brands that optimize product data for AI queries now will compound for 24 to 36 months while others catch up. It is the same pattern we saw in early SEO. The first movers wrote the rules, then scaled while late entrants fought for scraps.

Treat this as infrastructure planning. Get your Stripe setup ready, harden your product data, and test real prompts that match buyer intent in your niche. If you want a bigger view on how AI is shaping winners next year, start with this breakdown on AI creating ecommerce competitive edge.

Who Can Join and How to Get Ready

Etsy is live in the US right now, and Shopify is next. If you sell on either platform, your products will soon be discoverable and purchasable inside ChatGPT. The setup hinges on Stripe for payments and clean product data that AI can understand. Treat this as a new discovery layer that sits on top of your current SEO, paid, and social work.

Etsy Sellers: Quick Steps to Enable and Boost Visibility Today

For US-based Etsy sellers, you can act today. The goal is simple: make your listings easy for AI to match with real buyer intent, then test how they appear in chat.

• Verify payments. You need Stripe as your processor or the Etsy payments setup that supports Instant Checkout.
• Enrich your listings. Use clear titles, specific attributes, and descriptive copy that sounds like how a buyer would ask. Add crisp images that show scale and use cases.
• Test in ChatGPT. Type prompts like “handmade mug ideas,” “minimalist jewelry gift,” or “plant lover gift under $40.” See what shows and what does not. Adjust wording and tags, then test again.
• Tighten tags. Use precise tags that align with long-tail queries.

Example: A shopper asks, “unique housewarming gift for someone who loves plants.” ChatGPT surfaces your stoneware planter with drainage, shows a photo, answers a quick care question, and completes the purchase in under a minute. This is ambient shopping across chat and voice, and early adopters will build learnings before the rest of the market catches up.

Shopify Prep Guide: Actions for the Upcoming Integration

Shopify merchants, support is next. You want to be day-one ready. Treat this like a channel setup and a product data sprint.

1. Confirm payments. If you run Shopify Payments, you are already on Stripe rails. If not, review your payment setup and plan for Stripe compatibility. Expect standard processing fees, including a transaction fee, plus a platform cut on each transaction.
2. Audit product data for AI clarity. Your titles, descriptions, tags, and attributes should answer who it is for, what it does, why it is better, and when to use it. Write how buyers speak, not how marketers write.
3. Pressure-test your top 20 SKUs. Ask, “If someone describes this in one sentence, will AI understand it?” Add missing attributes like materials, sizes, compatibility, and care details. Include use cases and outcomes to align with high-intent prompts.
4. Pick products that win in chat. Prioritize impulse-friendly SKUs, bundles under key price thresholds, and replenishable items with simple choices. Save high-consideration items for later once you learn conversion patterns.
5. Watch for the opt-in. Monitor Shopify’s announcement and enable ACP as soon as it is available. The first wave will benefit from outsized visibility.
6. Keep your existing channels running. This is a discovery layer, not a replacement. Your SEO, paid, and social still drive awareness, but now your structured data fuels AI recommendations.

Expect major DTC brands to join early because of the reach, including names like Glossier, SKIMS, and Allbirds. The edge for smaller shops is data quality. Clean, specific product information often beats bigger budgets inside AI answers. If you want a broader view of the tools shaping this shift, review this roundup of Top AI Tools for ECommerce Growth.

How This Transforms Your Store

Agentic checkout changes the rules of your digital strategy. Shoppers ask, get trusted product recommendations, and buy without leaving the chat. Your wins will come from cleaner product data, smarter tracking, and a tighter grip on customer expectations. The upside is speed and incremental revenue. The trade-off is losing parts of the journey you used to control. Treat this as a new surface where discovery happens, not a replacement for your site, SEO, or ads.

Tuning Products for AI Recommendations: Beyond Traditional SEO

AI does not skim pretty landing pages. It reads your product data and decides if your item answers the prompt. Write for queries, not slogans. Replace vague titles with specific, natural language that maps to buyer intent.

Use this checklist to tighten your catalog:

• Write clear titles that mirror how people ask. Example: “RFID-blocking full-grain leather bifold wallet, 8 card slots, slim front-pocket carry.”
• Front-load use cases and benefits. “Great for travel, blocks RFID scans, fits in front pockets, holds 8 cards plus cash.”
• Include structured attributes. Materials, dimensions, compatibility, care, fit, scent notes, active ingredients, size charts.
• Target long-tail questions. Think “running shoes for flat feet under $150” or “fragrance-free vitamin C serum for sensitive skin.”
• Add outcomes next to features. “Dries in 15 minutes, reduces odor after 3 wears, machine washable.”
• Avoid jargon. Use the words your customers use in reviews and support tickets.
• Test in ChatGPT weekly. Search your category and price point, then adjust titles, bullets, and tags based on what shows.
• Keep images descriptive. Show scale, use in context, and any accessories included. Captions help AI interpret visuals.
• Use schema where possible. Many Shopify themes handle basics, but verify product type, price, availability, and variant data are clean.

Answer the queries you want to win in plain English. If the AI can read it, it can recommend it. For a deeper workflow that pairs AI search behavior with Shopify data hygiene, save this guide on the Shopify AI search SEO playbook.

What to do this week: rewrite 10 SKU titles and first 100 words of their descriptions using buyer language, add three missing attributes per SKU, then test three prompts per item in ChatGPT. Ship the edits that move you into the results.

Tracking Sales in the AI Era: Facing Attribution Challenges

Expect AI-initiated orders to show up as direct or Stripe in your analytics. That hides the source and muddies CAC. Waiting for perfect tracking will cost you early learnings. Use directional data and a few simple systems to get signal fast.

Start with four moves:

1. Tag ACP orders at the source. Use Stripe metadata or order tags like “ACP_ChatGPT.” Create a dashboard view for ACP revenue, AOV, refund rate, and time to fulfill.
2. Watch for correlated lifts. Track sitewide revenue and branded search during your AI optimization sprints. If ACP-tagged orders climb while you change nothing else, attribute a portion of the lift to AI discovery.
3. Add post-purchase surveys. One question, first screen after checkout: “What helped you decide today?” Include “ChatGPT or another AI assistant,” “Friend,” “Ad,” “Search,” “Other.” Do not overcomplicate it.
4. Shift to blended metrics. Adapt your marketing strategies so your CAC and contribution margin are looked at in aggregate, not by fragile channel splits. This is the same posture you adopted after iOS 14 and cookie deprecation.

Practical guardrails:

• Track refund reasons by tag. If ACP refunds spike for sizing or expectation gaps, fix the data, not the ads.
• Use cohort views. Compare 4-week LTV for ACP customers vs site and paid social. If LTV holds, scale. If it lags, adjust SKUs and messaging.
• Set a test window. Run 30-day sprints, then decide whether to expand, pause, or pivot.

If you need a refresher on attribution models and trade-offs, bookmark the eCommerce marketing attribution guide. Bottom line, act on rough signal now, refine later. Operators who move with imperfect data will lap brands waiting on a closed-loop dashboard that may never arrive. This evolving digital customer experience demands quick adaptation in tracking the shifts in the customer journey.

How Customer Habits Are Evolving: Impulse and Trust in AI

When AI recommends a product, that answer carries weight like a friend’s referral. The research phase compresses. The new flow often looks like this: ask a question, get two or three options, ask one follow-up, buy. That speed changes what wins.

Implications you should plan for:

• Proof feeds the AI, not the shopper. Reviews, return rates, and accurate specs still matter, but as inputs to the model. Invest in quality signals that AIs can read.
• Less tab-hopping, fewer comparisons. If your product matches the prompt, you get the sale without six open tabs. Price still matters, but clarity and fit-to-intent matter more.
• Loyalty shifts toward data quality. If your info is complete and consistent, you keep getting the nod. If you misstate sizes, materials, or shipping times, the AI will learn and stop recommending you.
• Returns may rise at first. Faster decisions create expectation gaps. Counter with tighter descriptions, fit guidance, and better post-purchase education.

Operational guardrails to protect future recommendations:

• Keep inventory clean. Frequent stockouts on AI-suggested SKUs teach the system you cannot fulfill. That kills visibility.
• Add clear constraints. “Ships in 48 hours,” “fits 13-inch laptops,” “dishwasher safe top rack” reduce mismatches.
• Use proactive FAQs. Feed common pre-buy questions into your product data so the AI can answer on your behalf.
• Track post-purchase feedback by channel. If ACP customers complain about the same issue, fix the product page data first.

The upside is real. This is impulse-friendly, zero-friction buying, especially for gifts, consumables, and accessories under key price thresholds. The catch is discipline. AI will reward brands that are accurate, in-stock, and easy to explain. For more on marrying conversational flows with product suggestions, study how teams use conversational AI for personalized product recommendations.

Realistic Outlook and Your Next Moves

This is where you balance upside with execution risk. ChatGPT Instant Checkout can add incremental revenue fast, especially for giftable, sub-$75 products and replenishable SKUs. Instant Checkout brings quick wins, but the trade-off is order control and clarity. You will get less visibility into the path to purchase, and AI will punish messy data, stockouts, and unclear offers. Move, but move with guardrails. Tight product info, Stripe readiness, and a weekly testing cadence will keep you ahead while the channel matures and help minimize friction points from faster decisions that create expectation gaps.

Early Wins: Hypothetical Scenarios from Pioneer Brands

Here is what I expect early adopters to see based on current patterns. A US Etsy shop with rich attributes, clear titles, and crisp images can capture impulse demand inside ChatGPT, netting a conservative 10% sales lift in the first month. The mechanism is simple, lower friction, faster answers, and AI matching real prompts like “gift for coffee lover under $50.”

On Shopify, consumables and low-friction accessories win first. A supplement brand with clean variant data and clear benefits can convert first-time buyers into subscriptions when the AI surfaces a plan that aligns with a specific use case, for example “daily immunity routine.” Expect faster first purchase, then retention mechanics kick in.

Fashion sees fewer comparison hops. When AI answers sizing questions and clarifies materials and care, shoppers skip the tab maze. That usually drives higher AOV from bundles or add-ons because confidence is higher and distraction is lower.

Watch leaders like Glossier and Vuori. They tend to nail data hygiene and supply chain basics, which AI rewards. Push tests at the edge, for example prompt-specific bundles, free-ship thresholds under key price caps, and tighter fit guidance. The aim is to learn which combinations surface most often and convert with the least friction.

Your 5-Day Startup Plan: Immediate Actions to Take

Use this five-day sprint to stand up your ACP readiness and get signal fast. Keep it simple, ship every day, and document outcomes.

• Monday, market scan in ChatGPT
  Search your core queries, for example “best [category] under [price],” “[use case] [category] for [persona],” and “[material] [category] with [key attribute].”
  • Capture the top products shown, pricing bands, attributes repeated by the AI, and common angles, for example giftability, sustainability, dishwasher safe, travel friendly.
  • Note which competitors appear in multiple prompts. That usually signals cleaner data, not bigger budgets.
  • Tip: Compare what shows in chat with your current titles and bullets. Gaps will jump out.
• Tuesday, payments and eligibility
  Log in to Shopify Admin, go to Settings, then Payments. Confirm you run Shopify Payments, which uses Stripe rails, or confirm Stripe is active.
  • Record fees and any platform cuts that will apply.
  • Add a tag plan for ACP orders, for example “ACP_ChatGPT,” so you can track AOV, refunds, and repeat rate separately from day one.
• Wednesday, optimize your top 10 SKUs
  Rewrite titles and the first 100 words for your ten highest-velocity products. Use customer language, not slogans.
  • Include who it is for, key materials, sizes, compatibility, use cases, and one outcome.
  • Add two to three missing attributes per SKU, for example scent notes, care instructions, device fit.
  • Retest the same prompts from Monday and look for movement. For deeper merchandising wins on your storefront that also help AI clarity, study this guide on Optimize Shopify Search and Discovery.
• Thursday, measure AI visibility and gaps
  Run a free GEO, Generative Engine Optimization, scan or similar tools to see how your products surface across AI answers.
  • Compare tool output with Monday’s manual tests.
  • Create a short backlog: attribute gaps to fill, images to reshoot for scale or context, and FAQs to add as structured data so the AI can answer pre-buy questions in chat.
• Friday, lock in first-mover status
  Set a calendar alert for Shopify’s ACP rollout announcement. Plan to opt in on day one. Early catalogs often get outsized visibility during ramp.
  • Pick your first cohort of SKUs for Instant Checkout, favoring giftable items, bundles under key price thresholds, and replenishable consumables.
  • Define a 30-day test: weekly prompt testing, order tagging, refund reason tracking, and a simple post-purchase survey with “ChatGPT or another AI assistant” as an option.
  • Decide your scale rule. Example: if ACP AOV is within 5 percent of site AOV and refund rate stays under 8 percent, expand from 10 SKUs to 30 SKUs next month.

Keep the cadence tight. Optimize, test prompts, measure, then expand. The brands that get disciplined now will bank learnings and compound while everyone else waits for perfect attribution.

Global Reach and Future Trends

Instant Checkout is starting in the US, but the bigger story is what this unlocks for cross-border growth over the next 12 to 24 months. Instant Checkout paves the way for seamless international transactions that boost worldwide seller opportunities. If you sell outside the US, your job now is to be day-one ready. Commerce is shifting toward AI-mediated, zero-friction purchases that happen in chat, voice, and inbox. The brands that prep early will ride compounding distribution while others scramble to retrofit their data and payments later.

Rollout Timeline: What To Expect and When

Here is the likely sequence based on how platform launches usually scale and where payments already operate:

PhaseMarketsWhat It MeansNowUS (Etsy live, Shopify next)Eligibility tied to Stripe-supported payments and clean product data.Q2 2026UK, Canada, AustraliaEnglish-speaking expansion, faster learnings, faster iteration loops.Late 2026EU, parts of APAC and LATAMStripe footprint becomes the gating factor for ACP-enabled commerce.

Three takeaways:

• Expansion follows payments. If Stripe supports your country, ACP can typically follow.
• US-first does not mean US-only. Expect a ramp in English markets, then broader coverage.
• If you serve US buyers from abroad, you may be eligible earlier depending on your processing setup.

Non-US Sellers: Your 90-Day Readiness Plan

You do not need global availability to start winning. Use this window to sharpen your catalog and operations so you are ready on day one.

• Clean your data now. Titles, attributes, use cases, and outcomes should match how buyers ask questions in each market.
• Localize essentials. Currencies, sizing standards, materials, and care instructions should map to local norms.
• Validate payments. Confirm Stripe rails or Shopify Payments compatibility. If you run a single storefront, plan pricing rules and tax settings for international shoppers, especially when acting as the merchant of record for duties and taxes. For a deeper build plan, review this guide on international expansion with Shopify Markets.
• Trial prompts weekly. Test real queries in ChatGPT that your future customers will ask, for example “eco-friendly yoga mat UK under £60.” Adjust data, test again.
• Learn from US pilots. Watch which categories convert and which attributes the AI repeats. Apply those patterns to your catalog.

Payments, Duties, and Delivery: Remove Friction Upfront

AI will favor merchants who reduce post-purchase headaches in order fulfillment. Handle the boring stuff now so recommendations stick.

• Price landed, not just sticker. List shipping windows and duty expectations. Consider DDP for key lanes so buyers avoid surprise fees. If you sell on Etsy, this primer on Etsy Delivered Duty Paid is a useful starting point.
• Standardize delivery promises. Use clear SLA language for order fulfillment, for example “ships in 48 hours,” “5 to 8 business days to Germany.”
• Tag regions on variants. If some finishes or sizes only ship to certain countries, mark that in attributes so the AI does not mis-match.
• Ensure compatibility for consumer payments. Confirm Stripe rails or Shopify Payments setup to support smooth, borderless transactions.

Localization That Actually Drives Discovery

Translation alone will not win you recommendations. You need intent-matching data for each market.

• Write how locals ask. UK buyers search for “trainers,” not “sneakers.” Australians may ask for “bathers,” not “swimsuits.”
• Convert specs and standards. Centimeters, milliliters, and EU sizing should be first-class data, not footnotes.
• Align to price bands and holidays. Tune bundles and promos to local thresholds and seasonal moments, for example Singles’ Day, Diwali, Mother’s Day dates that vary by country.
• Add country-specific FAQs. Feed pre-buy answers that matter in each market, for example VAT handling, plug types, or care differences for climate.

Category Fit by Region: Where Early Wins Will Land

Expect fast traction in categories where speed beats comparison shopping:

• Gifts under common thresholds, for example £50, CA$75, AU$100.
• Consumables and refills with clear benefits, for example vitamins, coffee, skincare.
• Accessories with simple sizing or one-size fit, for example tech cases, travel gear, kitchen tools.

Heavier research categories, for example mattresses, furniture, or complex electronics, may lag until richer product Q&A and local reviews are ingested at scale.

The 24-Month View: What ACP Unlocks Globally

Here is the pattern I expect to see as ACP spreads:

• More purchases without site visits. A rising share of orders will happen inside conversations. Your structured data becomes the storefront.
• Multi-agent distribution from one setup. ACP’s openness means your catalog can show up in ChatGPT, then in other agents that adopt the protocol, establishing ACP as an open shopping platform with minimal extra work.
• Discovery becomes intent-first, enabling personalized commerce experiences. Good data beats big brands when the AI answers a specific prompt cleanly, for example “moisture-wicking running socks for hot climates.”
• Quality signals matter more. Accurate specs, low refund rates, and on-time shipping will be weighted as inputs. If your ops slip, recommendations fade.

The move now is simple and hard at the same time. Tighten your product data, localize for your top target markets, and lock payments plus duties so buyers get exactly what the AI promised. When global rollout hits your region, you will not be catching up, you will be collecting orders. For a macro view of where this is heading next year, skim the roundup of top ecommerce trends shaping 2025.

Conclusion

OpenAI’s ChatGPT Instant Checkout and the open Agentic Commerce Protocol collapsed the gap between conversation and purchase. AI is no longer just a researcher, it is a sales partner that can recommend, answer, and transact in one thread. The brands that win will show up at the exact moment of intent with clean data, Stripe-ready payments, and a fast opt-in when Shopify goes live. Treat this as infrastructure work, not a side project. Small improvements to titles, attributes, and use-case language compound once AI starts sending qualified buyers your way.

Your next steps are simple and high impact. Tighten product data so an AI can understand who the item is for, what it does, and why it fits the prompt. Confirm you are on Stripe rails or Shopify Payments. Tag agentic orders so you can measure AOV, refund rates, and repeat behavior. Be ready for the opt-in flow, then iterate weekly with real prompts and SKU-level edits. Want a broader view of where this is headed, and what to prioritize over the next two quarters? Bookmark the analysis on 2025 AI trends shaping Shopify DTC brands.

The pattern is clear. Commerce is moving toward zero friction in Agentic Commerce, where AI answers are the trust signal and the checkout for customers to purchase directly. Early operators bank 2 to 3 years of compounding advantage while the rest scramble to retrofit. Agentic buys are just starting. Make sure your products are the ones AI recommends first through strong product recommendations.

If this was useful, subscribe to the newsletter for weekly AI and DTC playbooks, and queue up the podcast for real operator stories, tests, and results. What is your first move this week, data cleanup or payments readiness? Share it and I will point you to a playbook that fits your stage.